The Research Group System Security would like to inform you about the Austria Cyber Security Challenge 2018
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In the more than 300 years of learning and teaching English in German-speaking countries we find evidence of innovative methods, customized teaching materials, a wide range of practices as well as examples of theoretical and empirical research. Some developments have been forgotten, others exert an influence on the field of ELT to this day. Knowing about the multi-faceted past may help us to better understand the present and recognize the constant and universal elements of language teaching and learning.
Bio:
Friederike Klippel held the Chair of English Language Education (ELT/TESOL) at Ludwig-Maximilians-University in Munich from 1993 to 2015 after her PhD (1979) and her postdoc degree (1992) at Dortmund University (Germany). During the academic year of 2016/17 she was guest professor for TEFL at the University of Vienna. In the summer semester of 2018 she is Expert in Residence at Heidelberg University.
She has published on a wide range of aspects concerning English language teaching and language teacher education. Her research areas comprise the history of language teaching and learning, language teaching methodology, classroom research, intercultural education, teacher education and professional development. Her many publications include Keep Talking (CUP 1984) and a comprehensive historical study of learning and teaching English in 18th and 19th century Germany (Englischlernen im 18. und 19. Jahrhundert. Die Geschichte der Lehrbücher und Unterrichtsmethoden. 1994). At present she serves on the editorial boards of the journals Language Teaching (CUP) and Zeitschrift fuer Fremdsprachenforschung (ZFF). She is an active member of professional organisations like IATEFL, DGFF, Henry Sweet Society and Anglistenverband.
Date and place:
May 9, 2018
HS 3, 10-11:30
Screen stories enact and express moral codes, moral codes that audiences can accept, reject or even ignore in the name of entertainment. It Happened One Night (Capra 1934) and Get Out (Peele 2017) offer perspectives on how different eras negotiate moral codes within a context of heterosexual romance. In IHON, a working class newspaper reporter meets a wealthy heiress on a cross-country bus ride and converts her to his way of life. In Get Out, an African-American photographer meets the wealthy family of his white girlfriend and barely retains his identity. Although vastly different in terms of affect, genre, and narrative, both films resonated in American culture in part because of their moral politics revolving around masculinity, class, and race. This talk will show how both films negotiate moral values to embody as well as transcend their historical moments. We will consider IHON and Get Out against a background that considers how scrutiny of movie content has gone from local to national, from explicit to implicit, and how moral codes that were once enforced by industry are now scrutinized on social media.
Bio:
Pete Porter is Visiting Scholar at University of Amsterdam and Chair and Professor of Theatre and Film at Eastern Washington University. He also serves as Film Review Editor for Society & Animals. He is currently working on the manuscript Moving Animals: Screening the Nonhuman in the Age of Bioinclusivity, which explores how motion pictures of the 21st century are fulfilling their promise of affording more inclusive understandings of nonhuman nature. His publications include “Engaging the Animal in the Moving Image” in Society & Animals, “Teaching Animal Movies” in Teaching the Animal: Human-Animal Studies across the Disciplines, and “It’s a Complicated Case: on the Modest Menippeanism of The Big Lebowski” in Lebowski 101.
Date and place:
May 9, 2018
HS 10, 12-13:00
There are individuals who are immensely knowledgeable. And yet, as Maria von Ebner-Eschenbach tells us, “knowledge expands when it is shared.” But does knowledge that has been gathered in vast knowledge bases always remain free of errors? And how does one go about drawing accurate conclusions from collected knowledge? Patrick Rodler, Post Doc at the Department of Applied Informatics, is working on artificially intelligent error detection and error correction in knowledge bases.
